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Fuzzy Control of a Wastewater Treatment Process

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Intelligent Decision Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 10))

Abstract

The paper deals with the fuzzy control of a waste water treatment process in which the organic substances are removed. The process is treated as a multi variable process, having the dilution rate, the aeration rate and the recycling rate as control inputs and the dissolved oxygen and the substrate concentrations in the effluent as output variables. The process sensitivities with respect to the control inputs in the case of indirect control through the control of dissolved oxygen concentration and of the direct control of substrate were studied. In all cases fuzzy controllers were used. It was also shown that fuzzy control provides good results in the presence of disturbances and parametric uncertainties of the model.

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Author information

Authors and Affiliations

  1. Department of Automatic Control, “Dunărea de Jos” University of Galaţi, Domnească Street No. 47, 800008, Galaţi, România

    Alina Chiroşcă, George Dumitraşcu, Marian Barbu & Sergiu Caraman

Authors
  1. Alina Chiroşcă
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  2. George Dumitraşcu
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  3. Marian Barbu
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  4. Sergiu Caraman
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Editor information

Editors and Affiliations

  1. Graduate School of Information, Production and Systems (IPS), Waseda University, 2-7 Hibikino Wakamatsuku, 808-0135, Fukuoka, Kitakyushu, Japan

    Junzo Watada

  2. Sellinger School of Business and Management, Loyola University Maryland, 4501 N Charles Street, 21210, Baltimore, MD, USA

    Gloria Phillips-Wren

  3. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus Adelaide, 5095, South Australia, SA, Australia

    Lakhmi C. Jain

  4. KES International, Shoreham-by-seaWest Sussex, PO Box 2115, BN43 9AF, United Kingdom

    Robert J. Howlett

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© 2011 Springer-Verlag Berlin Heidelberg

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Chiroşcă, A., Dumitraşcu, G., Barbu, M., Caraman, S. (2011). Fuzzy Control of a Wastewater Treatment Process. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-22194-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22193-4

  • Online ISBN: 978-3-642-22194-1

  • eBook Packages: EngineeringEngineering (R0)

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